Bottom-up energy demand forecasting for India in 2050
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Business-As-Usual Model The BAU folder includes all the data as well as code to run the regression mode Running predict.py will produce three sets of predictions at regional levels. add_noise.py will additionally produce natural noise variation. Results are GDP projections dependent, if projections are changed users must maintain consistency of projections with the Technology model.
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Technology Model forecast.py is a set of functions that build hourly demand of various technologies. results.py will generate all the hourly profiles at different resolutions.